Data Architect

Job Description The Data Integration Architect is responsible for defining and governing our client's enterprise data flow architecture. This role focuses on how data moves, transforms, is governed, and becomes trusted across systems to support operational excellence, reporting, analytics, automation, and emerging AI capabilities. While integration technologies are part of the landscape, the primary emphasis of this role is establishing scalable, reusable, and observable data movement patterns aligned to business domains. This architect ensures enterprise data is treated as a strategic asset—structured, documented, secured, and designed for long-term sustainability rather than one-off project solutions. This role requires strong communication and documentation skills to translate complex data architecture concepts into clear standards, reference designs, and actionable guidance for technical teams and business stakeholders.

Key Responsibilities:

• Define enterprise data flow architecture across operational, ERP, analytical, and external systems, emphasizing scalable, reusable, and domain-aligned patterns.
• Establish standards for data movement and modeling, including ingestion, transformation, synchronization, canonical models, and data contracts.
• Promote data-as-a-product and governance practices, covering data ownership, quality, lineage, documentation, versioning, and lifecycle management.
• Enable analytics and AI initiatives by ensuring data is trusted, accessible, well-structured, and securely governed.
• Ensure security, reliability, and compliance through resilient, monitored, and privacy-aware data movement designs aligned with DR and continuity requirements.
• Provide architecture leadership and communication, including reference architectures, standards, design reviews, and guidance to engineering and business teams.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• 7+ years of experience in data architecture, data integration, ETL/ELT, or enterprise data engineering.
• Manufacturing industry experience.
• Experience designing data flows across hybrid cloud and on-premises environments.
• Strong understanding of data modeling concepts, including normalized models, dimensional models (star/snowflake schemas), and canonical data structures.
• Experience establishing data quality, governance, and lifecycle management standards.
• Working knowledge of APIs and data exchange patterns.
• Strong documentation skills including architecture diagrams, standards documentation, and data flow specifications.
• Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences.